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cs.CL2026
Toward a Graded Measure of Belief Stability in Large Language Models
Samantha Dies, Branden Fitelson, Tina Eliassi-Rad
Large language models (LLMs) increasingly mediate how people access and reason with information, yet factual reliability is usually evaluated one judgment at a time. We introduce g…
cs.CL2026
Belief Coevolution in a Social Network of Generalist and Specialist Large Language Models: A Controlled Study
Germans Savcisens, Samantha Dies, Courtney Maynard +1
Large language models (LLMs) are increasingly deployed in multi-agent environments. However, the processes by which beliefs form and propagate among interacting LLMs remain poorly…
cs.CL2025
Epistemic Familiarity is Associated With Belief Stability in Large Language Models
Samantha Dies, Courtney Maynard, Germans Savcisens +1
Large language models (LLMs) are widely used as information sources, yet small changes in semantic assumptions can destabilize their beliefs. We introduce P-StaT (Perturbation Stab…